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Diagnosis of faulty induction motor using different sensor
Joint Authors
Taha, Zahra Khudayr
al-Saidi, Malik Abd al-Razzaq
Musa, Arwa Amir
Source
Journal of Baghdad College of Economic Sciences University
Issue
Vol. 2018, Issue 54 (31 Mar. 2018), pp.2-12, 11 p.
Publisher
Baghdad College of Economic Sciences University
Publication Date
2018-03-31
Country of Publication
Iraq
No. of Pages
11
Abstract EN
Single phase induction motor is being the most widely used in different devices at the recent years, which make it a subject to a different failure.
This paper presents a measured data calculations and analyzed using different sensors for detecting the single phase induction motor failure.
The acoustic wave is currently being used in a wide range of sensing fields including physical sensing, chemical sensing and bio-sensing.
One of the most important acoustic sensor is piezoelectric, Piezoelectric was used to detect the acoustic wave generated from these motors, any changes in these acoustic it will be detect to indicate for some occurred failure with in these motors.
Another alternative sensor has been used is the modified optical fiber.
The modified optical fiber sensor is constructed in a short segment of unshielded the outer sheath and replaced with a cd disk.
This fiber was worked as an acoustic sensor by moving the acoustic signal across the fiber tube due to the difference in the refractive index in the 1mm unshielded area.
In this study different experiment have been a accomplished and analyzed for detecting the induction motor failure which provided an information that will enable for future modification of sensors
American Psychological Association (APA)
al-Saidi, Malik Abd al-Razzaq& Musa, Arwa Amir& Taha, Zahra Khudayr. 2018. Diagnosis of faulty induction motor using different sensor. Journal of Baghdad College of Economic Sciences University،Vol. 2018, no. 54, pp.2-12.
https://search.emarefa.net/detail/BIM-937871
Modern Language Association (MLA)
al-Saidi, Malik Abd al-Razzaq…[et al.]. Diagnosis of faulty induction motor using different sensor. Journal of Baghdad College of Economic Sciences University No. 54 (2018), pp.2-12.
https://search.emarefa.net/detail/BIM-937871
American Medical Association (AMA)
al-Saidi, Malik Abd al-Razzaq& Musa, Arwa Amir& Taha, Zahra Khudayr. Diagnosis of faulty induction motor using different sensor. Journal of Baghdad College of Economic Sciences University. 2018. Vol. 2018, no. 54, pp.2-12.
https://search.emarefa.net/detail/BIM-937871
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-937871